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README.md

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 # MultiAgent and QualityDiversity ReinforcementLearning
 This repository contains all the main informations about the university and thesis project on Multi Agent Reinforcemnt Learning and Quality Diversity.
+The project is supervised by Giovanni Iacca and Andrea Ferigo from University of Trento and follows their current researches.
 
 ## Papers and References
 In [references](/references) there is a comprehensive list of references of the studied papers to complete the project.
 
 ## Source codes
-In [src](/src) are stored all the scripts developed during the project. The produce code works only if linked to the code developed in the following papers by Giovanni Iacca, Marco Crespi, Andrea Ferigo, Leonardo Lucio Custode:
+In [src](/src) are stored all the scripts developed during the project. The produced scripts work only if linked to the code developed in the following papers by Giovanni Iacca, Marco Crespi, Andrea Ferigo, Leonardo Lucio Custode:
 - [A Population-Based Approach for Multi-Agent Interpretable Reinforcement Learning](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4467882)
 - [Quality Diversity Evolutionary Learning of Decision Trees](https://arxiv.org/abs/2208.12758)